knowledge-governance

Governance standard and reference toolset for LLM-maintained knowledge corpora

Verified knowledge infrastructure for agent-native research teams.

Evidence-governed knowledge infrastructure for enterprise AI agents, with approved sources, traceable facts, review-gated publication, and agent-ready context.

KAOS (Knowledge Acquisition Operating System) is an AI-assisted framework for transforming fragmented information into governed, structured knowledge through repeatable acquisition workflows, human approval gates, provenance tracking, and canonical data modeling.

Evidence-governed outlet insight component for consumer-goods decision workflows; human-reviewed, no execution.

Personal secondary development of Tencent WeKnora: governable Wiki review, conflict resolution, traceable feedback, and MCP retrieval.

A governance protocol for long-running AI workflows. Makes project knowledge governable through explicit authority, operational roles, and persistent continuity. Zero code. Zero infrastructure. Works with Claude, Gemini, and GPT.

Constitutional architecture for semantic entry, governed navigation, interpretation, evidence, and competent participation.

Knowledge governance framework for AI coding agents on long-running projects. Persistent decisions, prevention memory, and session continuity across Claude, GPT, and Gemini. Not a context dump—an explicit hierarchy of authority that tells agents what governs and what merely informs.

Canonical repository for “The Cohesive Tetrad: Jalan Menuju Kebenaran”, an epistemic and ethical framework for truth governance integrating Sabda, Logic, Qualia, and Mystica with Akhlak as the surface of verification (DOI: 10.17605/OSF.IO/D5S7V).

Knowledge OS is a protocol layer and operating environment for living knowledge: claims, evidence, dissent, verdicts, snapshots, and lineage.

Evidence-governed maritime AI control plane with local RAG, fail-closed port adapters, auditable workflows, and a real 4-RL + PID lab.

VCaaS™ is a context governance framework for AI agents, workflows, and coding tools with ownership, guardrails, drift detection, and context dependency mapping.

A governance model for enterprise digital clones that separates versioned decision cores from continuously updated organizational knowledge.

Lightweight, replayable PoC for Sovereign Epistemic Commons: synthetic multi-agent memory-governance experiments on contamination, typed lanes, provenance-depth discount, and mixed exit/fork in observable-only agentic systems.

A landmark study redefining democracy through fiduciary-epistemic theory. This paper argues that AI firms function as knowledge fiduciaries and that democracy’s survival depends on embedding fiduciary duties—candour, care, impartiality, and accessibility—into the architecture of AI governance. It proposes new legal forms such as Epistemic Fiduciary

This essay critiques how university marketing, rankings, and promotional narratives may perpetuate epistemic violence by silencing plural knowledges, urging institutions to recognise their fiduciary epistemic duties and adopt inclusive practices.

A unified theoretical framework integrating political theory, political epistemology, and Epistemic Clientelism Theory to analyse and reform the structures of epistemic power in governance, institutions, and social systems.

Practical playbook for operational AI with RAG, agents, governance, traceability, and process engineering.

A bridge specification connecting OKF knowledge packages with Royalty OS trace, evidence, attribution, and compute access rights.